This document looks into coordinated radio resource allocation algorithms in deployments of huge number of femto-access points (FAP) by exploiting the message exchange at control-plane level through the wired ISP backhaul link.

Abstract:

This document looks into coordinated radio resource allocation algorithms in deployments of huge
number of femto-access points (FAP) by exploiting the message exchange at control-plane level through
the wired ISP backhaul link. The algorithms present in this document are based on decentralized
cooperative strategies supported by Game Theory. Decentralized resource allocation algorithms based on
price exchange have been derived under different criteria: guaranteeing a minimum rate with the
minimum power, maximizing the weighted sum-rate of the system, maximizing the opportunistic
throughput when there are different source of randomness like random link failures and noise
quantization or when the activity of macro-users is not known by FAPs (coordinated channel sensing or
modelling the activity). Additionally, a genetic-based resource allocation is investigated, providing
centralized and decentralized algorithms, to which the Game Theory solutions are challenged . In all
cases, the techniques derived require modifications of the current LTE-A standard which are identified.
Finally, some of those algorithms have been evaluated in a realistic corporate scenario elucidating the
advantages of coordinated resource allocation techniques proposed.